Multiple Ph.D. positions in connected and automated vehicle
Multiple Ph.D. positions are open starting
Spring/Fall 2024 (with fully covered tuitions and stipend)
Research Areas
- Connected and automated vehicles (CAV)
- Cooperative driving automation (CDA)
- Model based and AI based optimal control
- Multi-resolution HIL digital twin simulation
- Intelligent transportation systems
- Vehicle and transportation electrification
Requirements
- MS/BS degree in a related engineering discipline, such as Mechanical Engineering, Automotive Engineering, Electrical and Computer Engineering, Civil Engineering, and Computer Science
- Highly motivated and have strong interest in conducting research in at least one of the above areas
- Proficient in at least one programming language, such as Matlab/Simulink, Python, C++, Julia
- Preferred to have research experience in dynamic systems and control, automotive, robotics, machine learning, real-time control systems and HIL simulation (e.g., dSPACE), or related areas
How to apply
Interested candidates are encouraged to send resume/CV to
yunli.shao@uga.edu with subject "
Ph.D. Application-[Your Name]". Please submit an official online application according to instructions on
https://engineering.uga.edu/graduate-programs/admissions, and indicate your interests to work with Dr. Yunli Shao.